Spring状态机 Statemachine使用小结
作者:桂老七
1. 状态机简介
状态机(State Machine)是一种描述系统行为的数学模型,核心思想是将系统抽象为有限个状态,并通过状态转移规则定义系统如何响应外部事件。它由一系列状态(States)、转换(Transitions)、事件(Events)、卫兵(Guards)和动作(Actions)组成。在软件开发中,状态机常用于控制程序的流程和状态变化。
其核心优势在于: 通过清晰明确的状态定义、自动状态更新,将复杂的状态流转逻辑结构化。从而使得业务逻辑与状态解耦,减少了自己维护状态产生的大量if-else,显著提升代码可维护性和扩展性。
2. 核心组件介绍
2.1 流转逻辑相关:
组件 | 处理逻辑类型 |
State枚举 | 枚举对象所有的状态(流程图的节点) |
Events枚举 | 枚举所有引起两个状态之间切换的事件(流程图的箭头) |
Configurer配置类 | 组装State和Event的转换关系 (相当于流程图) |
| StateMachine状态机 | 一个状态机表征一个对象实体,它拥有状态,并通过event的驱动来按照Configurer的配置进行状态变化,同时执行配置中指定的guard、action和listener |
2.2 业务逻辑组件:
(具体业务开发在这里写,由框架负责调度)
组件 | 处理逻辑类型 | 是否阻塞迁移 |
Guard | 纯校验逻辑 (金额校验/渠道检查) | 是,失败则中断迁移 |
Action | 核心业务操作 (支付执行/库存扣减) | 是,异常导致迁移失败 |
Listener | 后续操作响应 (通知/日志/监控) | 否,异步执行(也可同步) |
2.3 流程示例图

3. 示例代码
3.1 依赖引入
<!--状态机--> <dependency> <groupId>org.springframework.statemachine</groupId> <artifactId>spring-statemachine-starter</artifactId> <version>3.2.0</version> </dependency> <!-- redis持久化状态机--非必需组件,也可以用文件或数据库做持久化 --> <dependency> <groupId>org.springframework.statemachine</groupId> <artifactId>spring-statemachine-redis</artifactId> <version>1.2.9.RELEASE</version> </dependency>
3.2 状态枚举定义
public enum OrderStatus {
// 待支付,待发货,待收货,已完成
WAIT_PAYMENT(1, "待支付"),
WAIT_DELIVER(2, "待发货"),
WAIT_RECEIVE(3, "待收货"),
FINISH(4, "已完成");
private Integer key;
private String desc;
OrderStatus(Integer key, String desc) {
this.key = key;
this.desc = desc;
}
public Integer getKey() {
return key;
}
public String getDesc() {
return desc;
}
}3.3 事件枚举定义
public enum OrderStatusChangeEvent {
// 支付,发货,确认收货
PAYED, DELIVERY, RECEIVED,UNPAY;
/**
* 获取下一个事件枚举
*
* @return 下一个事件枚举
*/
public OrderStatusChangeEvent getNextEvent() {
switch (this) {
case UNPAY:
return PAYED;
case PAYED:
return DELIVERY;
case DELIVERY:
return RECEIVED;
case RECEIVED:
// 如果是最后一个事件,则返回null
return null;
default:
// 如果枚举值不在预期范围内,则抛出异常
throw new IllegalArgumentException("不支持的事件枚举值");
}
}
}3.4 配置类
@Configuration
@EnableStateMachineFactory
public class OrderStateMachineConfig extends StateMachineConfigurerAdapter<OrderStatus, OrderStatusChangeEvent> {
@Autowired
private OrderGuard orderGuard;
@Autowired
private OrderAction orderAction;
/**
* 配置状态
*
* @param states
* @throws Exception
*/
public void configure(StateMachineStateConfigurer<OrderStatus, OrderStatusChangeEvent> states) throws Exception {
states
.withStates()
.initial(OrderStatus.WAIT_PAYMENT)
.states(EnumSet.allOf(OrderStatus.class));
}
/**
* 配置状态转换事件关系
*
* @param transitions
* @throws Exception
*/
public void configure(StateMachineTransitionConfigurer<OrderStatus, OrderStatusChangeEvent> transitions) throws Exception {
transitions
//支付事件:待支付-》待发货
.withExternal()
.source(OrderStatus.WAIT_PAYMENT).target(OrderStatus.WAIT_DELIVER)
.event(OrderStatusChangeEvent.PAYED)
.guard(orderGuard)
.action(orderAction)
.and()
//发货事件:待发货-》待收货
.withExternal()
.source(OrderStatus.WAIT_DELIVER).target(OrderStatus.WAIT_RECEIVE)
.event(OrderStatusChangeEvent.DELIVERY)
.guard(orderGuard)
.action(orderAction)
.and()
//收货事件:待收货-》已完成
.withExternal()
.source(OrderStatus.WAIT_RECEIVE).target(OrderStatus.FINISH)
.event(OrderStatusChangeEvent.RECEIVED)
.guard(orderGuard)
.action(orderAction)
.and()
.withExternal()
.source(OrderStatus.WAIT_DELIVER).target(OrderStatus.WAIT_PAYMENT)
.event(OrderStatusChangeEvent.UNPAY)
.guard(orderGuard)
.action(orderAction);
}
}3.5 Guard--存放业务检查逻辑
业务开发只用关心实现这个Guard接口不用关心执行调度和状态维护。
@Component
public class OrderGuard implements Guard<OrderStatus, OrderStatusChangeEvent> {
@Override
public boolean evaluate(StateContext<OrderStatus, OrderStatusChangeEvent> context) {
Order order = context.getMessage().getHeaders().get("order", Order.class);
// ...自定义业务检查逻辑
return true;
}
}3.6 Action---存放业务执行逻辑
业务开发只用关心实现这个Action接口不用关心执行调度和状态维护
@Slf4j
@Component
public class OrderAction implements Action<OrderStatus,OrderStatusChangeEvent> {
@Resource
private OrderMapper orderMapper;
@Override
public void execute(StateContext<OrderStatus, OrderStatusChangeEvent> stateContext) {
try {
Order order = stateContext.getMessage().getHeaders().get("order", Order.class);
State<OrderStatus, OrderStatusChangeEvent> target = stateContext.getTarget();
order.setStatus(target.getId().getKey());
log.info("orderAction:{}", order);
// 自定义业务执行逻辑
} catch (Exception e) {
log.error("订单状态机执行异常", e);
stateContext.getStateMachine().setStateMachineError(new RuntimeException("自定义错误"));
throw e;
}
}
}3.7 核心控制类
对并发有要求的使用工厂方法,每个订单都单独使用一个状态机表达
@Service("orderService")
@Slf4j
public class OrderServiceImpl extends ServiceImpl<OrderMapper, Order> implements OrderService {
@Autowired
private StateMachineFactory<OrderStatus, OrderStatusChangeEvent> stateMachineFactory;
@Resource
private StateMachinePersister<OrderStatus, OrderStatusChangeEvent, String> stateMachineRedisPersister;
@Resource
private OrderMapper orderMapper;
@Autowired
private RedisUtil redisUtil;
@Autowired
OrderStateListener orderStateListener;
/**
* 创建订单
*
* @param order
* @return
*/
@DS("oracle-xxx")
@Transactional(propagation = Propagation.REQUIRES_NEW)
public Order create(Order order) {
order.setStatus(OrderStatus.WAIT_PAYMENT.getKey());
orderMapper.insert(order);
return order;
}
/**
* 对订单进行支付
*
* @param id
* @return
*/
@DS("oracle-xxx")
@Transactional(propagation = Propagation.REQUIRES_NEW)
public boolean pay(Long id) {
Order order = orderMapper.selectById(id);
log.info("线程名称:{},尝试支付,订单号:{}" ,Thread.currentThread().getName() , id);
return autoSendEvent(OrderStatusChangeEvent.PAYED, order);
}
/**
* 发送订单状态转换事件
* synchronized修饰保证这个方法是线程安全的
*
* @param changeEvent
* @param order
* @return
*/
private boolean sendEvent(OrderStatusChangeEvent changeEvent, Order order) {
boolean result = false;
StateMachine<OrderStatus, OrderStatusChangeEvent> orderStateMachine = null;
try {
// 工厂方法生成状态机
orderStateMachine = stateMachineFactory.getStateMachine(order.getId());
orderStateMachine.addStateListener(orderStateListener);
//启动状态机
orderStateMachine.start();
//尝试恢复状态机状态
stateMachineRedisPersister.restore(orderStateMachine, String.valueOf(order.getId()));
Message message = MessageBuilder.withPayload(changeEvent).setHeader("order", order).build();
result = orderStateMachine.sendEvent(message);
boolean hasError = orderStateMachine.hasStateMachineError();
//持久化状态机状态
if(hasError){
return !hasError;
}
stateMachineRedisPersister.persist(orderStateMachine, String.valueOf(order.getId()));
// 已结束的流程 给key加上过期时间
if (order.getStatus() == OrderStatus.FINISH.getKey()) {
redisUtil.set(order.getId(), order.getStatus(), 60 * 60 * 24, TimeUnit.SECONDS);
}
} catch (Exception e) {
log.error("订单操作失败:{}", e);
} finally{
if (orderStateMachine != null) {
// 释放状态机
orderStateMachine.stop();
}
}
return result;
}
private boolean autoSendEvent(OrderStatusChangeEvent changeEvent, Order order) {
boolean b = true;
while (b && changeEvent != null) {
b = sendEvent(changeEvent, order);
changeEvent = changeEvent.getNextEvent();
}
return b;
}
3.8 监听器
用来执行一些不影响流程主流程的 日志、通知之类的任务,可异步
@Component
@Slf4j
public class OrderStateListener extends StateMachineListenerAdapter<OrderStatus, OrderStatusChangeEvent> {
private StateMachine<OrderStatus, OrderStatusChangeEvent> stateMachine;
private Message<OrderStatusChangeEvent> message;
@Override
public void stateContext(StateContext<OrderStatus, OrderStatusChangeEvent> context) {
StateMachine<OrderStatus, OrderStatusChangeEvent> stateMachine = context.getStateMachine();
this.stateMachine = stateMachine;
// 获取当前事件
Message<OrderStatusChangeEvent> message = context.getMessage();
this.message = message;
// 获取状态机 ID
String machineId = stateMachine.getId();
// 应用场景:订单状态变更记录
if (context.getStage() == StateContext.Stage.STATE_CHANGED) {
OrderStatus oldStatus = context.getSource().getId();
OrderStatus newStatus = context.getTarget().getId();
log.info("订单 {} 状态变更: {} → {}", machineId, oldStatus, newStatus);
}
if(context.getException()!=null){
log.error("状态机异常: {}",context.getException().getMessage());
}
}
@DS("oracle-xxx")
@Override
public void stateChanged(State<OrderStatus, OrderStatusChangeEvent> from, State<OrderStatus, OrderStatusChangeEvent> to) {
// 状态变更时触发(如 UNPAID → PAID)
System.out.println("状态变更: " + from.getId() + " → " + to.getId());
Order order = message.getHeaders().get("order", Order.class);
order.setStatus(to.getId().getKey());
}
@Override
public void stateEntered(State<OrderStatus, OrderStatusChangeEvent> state) {
// 进入新状态时触发
System.out.println("进入状态: " + state.getId());
}
@Override
@Async
public void eventNotAccepted(Message<OrderStatusChangeEvent> message) {
// 事件被拒绝时触发(如非法状态转换)
System.err.println("事件拒绝开始: " + message.getPayload());
Order order = message.getHeaders().get("order", Order.class);
try {
Thread.sleep(60000);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
System.err.println("事件拒绝结束: " + message.getPayload());
}
@Override
@Async
public void stateMachineError(StateMachine<OrderStatus, OrderStatusChangeEvent> stateMachine, Exception exception) {
// 只能建ring状态机本身在运行中发生的异常,不能处理action抛出的异常
// 可以在此进行重试、告警等操作
log.error("错误处理: {}", exception.getMessage());
}
@Override
public void stateExited(State<OrderStatus, OrderStatusChangeEvent> state) {
// 状态机退出时触发
log.info("状态退出: {}", state.getId());
}
}3.9 持久化
这里直接用的redis持久化,可自己定义成其他持久化方式
@Configuration
@Slf4j
public class Persist<E, S> {
@Resource
private RedisConnectionFactory redisConnectionFactory;
/**
* 持久化到redis中,在分布式系统中使用
*
* @return
*/
@Bean(name = "stateMachineRedisPersister")
public RedisStateMachinePersister<E, S> getRedisPersister() {
RedisStateMachineContextRepository<E, S> repository = new RedisStateMachineContextRepository<>(redisConnectionFactory);
RepositoryStateMachinePersist p = new RepositoryStateMachinePersist<>(repository);
return new RedisStateMachinePersister<>(p);
}
}
4. 总结
1. 状态转移通过配置类维护,可读性高,新增状态时维护方便。
2. 状态之间转移通过由配置强制指定,不容易出现逻辑错乱。
3. 加锁方便,可以在统一的事件触发入口加redis分布式锁。
4. 业务逻辑处理存放在Guard、Action、监听器中,各司其职结构清晰,代码逻辑解耦。
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